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Morningstar
Senior Machine Learning Engineer | Mumbai, IN
Morningstar
Mumbai•Hybrid•5-8 Yrs•1 day ago
Job description
Hybrid
Overview
Senior Machine Learning Engineer
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related technical field.
- 5+ years of experience in machine learning engineering or data science, with a focus on machine learning systems, ML platforms, or distributed systems.
- Strong experience building production-grade ML systems, including model deployment and lifecycle management.
- Hands-on experience with MLOps tools and practices, including CI/CD, model monitoring, and experiment tracking.
- Strong programming skills in Python and SQL, or similar languages.
- Solid understanding of distributed systems, scalability, and system design trade-offs.
- Proven ability to solve complex technical challenges and deliver scalable solutions.
- Excellent communication and collaboration skills, with experience working across global teams.
- Working Conditions
- The job conditions for this position are in a standard office setting. Employees in this position use PC and phones on an ongoing basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
- Morningstar is an equal opportunity employer
- Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
- I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity